Detailed computation of DxOMark Sensor normalization

On DxOMark, we evaluate and rank many types of digital cameras with image sensors that vary widely in pixel count, pixel size, and digital signal processing. To ensure that sensor performance comparisons between cameras are fair, it is very important both to test under identical shooting conditions and to take viewing conditions into account.

To compare cameras, we plot on the same graph the evolution of certain characteristics (SNR 18%, dynamic range, tonal range, color sensitivity) as a function of the ISO sensitivity value. Two essential elements can introduce bias in this comparison: ISO speed and resolution. For example, ISO 100 for a given camera may not be completely equivalent to ISO 100 for another camera; further, the resolution of the cameras may be different. More pixels mean more details, but also more noise in general (see More pixels offset noise!). We review here the influence of ISO speed and resolution on measurement and discuss how we have dealt with them to ensure that the DxOMark Overall Sensor Score and DxOMark Sensor Metrics can be used to rank cameras regardless of their intrinsic resolution and sensor sensitivity.

ISO speed defines light sensitivity by relating the amplitude of the output signal to the light captured by the camera.

For example, a photographer takes two different cameras to shoot a scene. Both cameras have same optics and are set to same exposure time and ISO speed values. Surprisingly, in most cases the output images will differ in terms of exposure. This means that either the exposure time or the ISO sensitivity is actually different for the presumed “same” setting.

The ISO setting scale on regular cameras normally utilizes a small number of values (100, 200, 400, 800, 1600, and sometimes 640, 1250). ISO speed (or sensitivity) definitions and measurement protocols are precisely described by the International Standards Organization (ISO)1, as explained in Metrics and Measurements. To make things easier for the user, the ISO standard allows for rounding up the actual sensitivity values to such numbers as 100, 200, etc.; however, rounding means that the nominal sensitivity can differ from the real sensitivity by up to 20%. Moreover, manufacturers can also use image processing to artificially change ISO sensitivity (by applying gains in the processing).

To eliminate bias and rounding errors, DxO Labs accurately measures ISO sensitivity and uses it as the basis for plotting all other characteristics — SNR 18%, dynamic range, tonal range, and color sensitivity.

The DxOMark Database page provides links to ISO speed graphs that show the differences between DxO Labs’ ISO-based speed data and manufacturers’ values.

Resolution varies from camera to camera, but ultimately images will be compared on similarly-sized screens or prints. On one hand, a higher-resolution camera will perform better because more pixels equate to more information for a given output surface. On the other hand, the same camera has a smaller pixel size and this decreases the SNR. Normalizing by pixel resolution makes it possible to compare actual sensor performance, similar to printing two images on the same printer.

Consider a sensor with megapixels. Starting from this
sensor, it is possible to simulate the noise standard deviation of a sensor
with a reference resolution . In the formulas below, the values
without subscripts are those that can be measured on the sensor (from actual
shots of targets); values with the subscript “norm” are normalized values — that
is, corresponding to a sensor with resolution .

We give the relationship between the
measured and normalized values for standard deviation, signal to noise ratio
(SNR), dynamic range (DR), tonal range (TR) and color sensitivity (CS) as
follows:

As can be seen, high-resolution sensors will gain more SNR, DR, TR and CS when reduced to a lower reference resolution. For DxOMark Sensor Overall Score and Metrics, we chose a reference resolution equal to 8 Megapixels, which is a bit less than a 12" x 8" print with a 300dpi printer. However, any other resolution can be chosen, as doing so only shifts the normalized values by a constant (because the reference resolution appears only as a logarithm in the formulas above). What should be remembered is that doubling the resolution adds:

3dB to the normalized SNR

0.5 bit to the normalized DR

0.5 bit to the normalized TR

1.5 bit to the normalized CS.

Also note that in DxO Labs’ Measurement Database, one can look either at normalized or absolute results, yet in the context of the DxOMark Sensor Overall Score, only normalized results are relevant. (Read more in our Insights section.)

Further readings for the Detailed computation of DxOMark Sensor normalization

To provide photographers with a broader perspective about mobiles, lenses and cameras, here are links to articles, reviews, and analyses of photographic equipment produced by DxOMark, renown websites, magazines or blogs.

Despite its success with its latest high-end camera models (the Nikon D3s and D3x), Nikon had yet to respond to the great success of the Canon EOS 5D Mark II, whose superior resolution and numerous features (notably with respect to video) simply outclassed the aging Nikon D700.

This Insight uses specific DSLRs to demonstrate the technique for objectively comparing noise for cameras with different levels of resolution. Such comparisons conclusively show better results overall for high-resolution sensors, despite the increase in noise.

We measure the performance of camera sensors that are capable of producing RAW images, be it in professional, semi-professional or consumer-level categories. We also measure the performance of interchangeable lenses for cameras equipped with such sensors.